Every modern website and application benefits from caching content closer to users. Commercial CDNs like Cloudflare, Fastly, and AWS CloudFront dominate this space, but they come with trade-offs: your traffic flows through third-party infrastructure, pricing scales unpredictably, and you surrender control over cache behavior.
Building a self-hosted CDN or edge caching layer gives you full visibility into what gets cached, how long it stays, and where it’s stored. For organizations handling sensitive data, operating under strict compliance requirements, or simply wanting to reduce external dependencies, self-hosted caching infrastructure is a practical necessity.
Why Self-Host Your Caching Layer
There are several compelling reasons to run your own caching infrastructure instead of relying on commercial CDNs.
Data sovereignty and privacy — When you use a commercial CDN, every request passes through their servers. For healthcare, financial, or government applications, this can create compliance issues with regulations like GDPR, HIPAA, or SOC 2. Self-hosted caching keeps all traffic within your controlled infrastructure.
Cost predictability — Commercial CDN pricing is based on bandwidth, requests, and features. A popular site can see bills spike from $50 to $5,000 overnight during traffic surges. Self-hosted solutions run on hardware you already own, with costs limited to electricity and server capacity.
Fine-grained control — Commercial CDNs offer preset cache rules. With self-hosted tools, you control every aspect: cache keys, TTL logic, purge strategies, custom VCL configurations, and integration with your existing monitoring stack.
Reduced vendor lock-in — Migrating away from a CDN provider means reconfiguring DNS, updating cache rules, and revalidating certificates. A self-hosted stack is yours to keep, modify, and extend without vendor approval.
What Makes a Good Self-Hosted Caching Solution
Not all caching software is created equal. When evaluating options for a self-hosted CDN or reverse proxy cache, consider these criteria:
- HTTP compliance — Full support for HTTP/1.1, HTTP/2, and HTTP/3 with correct cache header handling (Cache-Control, ETag, Vary, Last-Modified)
- Cache invalidation — Support for PURGE, BAN, and soft-purge operations
- SSL/TLS termination — Built-in HTTPS support with Let’s Encrypt integration
- Load balancing — Ability to distribute requests across multiple backend servers
- Varnish Configuration Language or equivalent — Scriptable cache logic for complex routing
- Monitoring and metrics — Export of cache hit/miss ratios, bandwidthprometheusonse times to Prometheus, Grafana, or similar tools
- Horizontal scaling — Support for running multiple cache nodes behind a DNS-based or anycast routing layer
Varnish Cache
Varnish Cache is the gold standard for HTTP acceleration. Originally designed to power Norwegian newspapers with millions of daily readers, it’s now used by Wikipedia, The New York Times, and countless high-traffic sites.
Key Features
- Purpose-built as an HTTP accelerator — not a general-purpose proxy
- VCL (Varnish Configuration Language) for flexible cache logic
- Edge Side Includes (ESI) for assembling cached page fragments
- Grace mode to serve stale content when backends are down
- Built-in health checks fdockerkend servers
Docker Deployment
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| version: "3.8"
services:
varnish:
image: varnish:7.6
ports:
- "80:80"
- "443:443"
volumes:
- ./default.vcl:/etc/varnish/default.vcl:ro
- varnish_cache:/var/lib/varnish
environment:
- VARNISH_SIZE=2G
command: >
-f /etc/varnish/default.vcl
-s malloc,2G
-p thread_pool_min=50
-p thread_pool_max=1000
-p http_resp_hdr_len=65536
restart: unless-stopped
volumes:
varnish_cache:
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Core VCL Configuration
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| vcl 4.1;
backend default {
.host = "origin-server";
.port = "8080";
.probe = {
.url = "/health";
.interval = 10s;
.timeout = 2s;
.window = 5;
.threshold = 3;
}
}
sub vcl_recv {
# Remove tracking cookies from cache key
if (req.http.Cookie) {
set req.http.Cookie = regsuball(req.http.Cookie, "(^|;\s*)(_[_a-z]+|__utma?|__utmz|ga_client_id)=[^;]*", "");
if (req.http.Cookie == "") {
unset req.http.Cookie;
}
}
# Normalize Accept-Encoding for better cache hit rates
if (req.http.Accept-Encoding) {
if (req.url ~ "\.(jpg|jpeg|png|gif|webp|ico|css|js)$") {
# Don't compress static assets
unset req.http.Accept-Encoding;
} elsif (req.http.Accept-Encoding ~ "gzip") {
set req.http.Accept-Encoding = "gzip";
} elsif (req.http.Accept-Encoding ~ "deflate") {
set req.http.Accept-Encoding = "deflate";
} else {
unset req.http.Accept-Encoding;
}
}
# Cache only GET and HEAD requests
if (req.method != "GET" && req.method != "HEAD") {
return (pass);
}
# Don't cache authenticated sessions
if (req.http.Authorization) {
return (pass);
}
return (hash);
}
sub vcl_backend_response {
# Set default TTL for static assets
if (bereq.url ~ "\.(jpg|jpeg|png|gif|webp|ico|css|js|woff2?)$") {
set beresp.ttl = 30d;
set beresp.grace = 30d;
unset beresp.http.Set-Cookie;
}
# Set default TTL for HTML pages
if (bereq.url ~ "\.html$") {
set beresp.ttl = 1h;
set beresp.grace = 2h;
}
# Remove server headers for security
unset beresp.http.X-Varnish;
unset beresp.http.Via;
unset beresp.http.Server;
return (deliver);
}
sub vcl_deliver {
# Add cache hit/miss header for debugging
if (obj.hits > 0) {
set resp.http.X-Cache = "HIT";
set resp.http.X-Cache-Hits = obj.hits;
} else {
set resp.http.X-Cache = "MISS";
}
}
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Purge and Ban Operations
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| # Purge a single URL
curl -X PURGE https://your-domain.com/page-to-clear
# Ban all cached content matching a pattern
varnishadm 'ban req.url ~ ^/api/v1/ && req.http.host == your-domain.com'
# View active bans
varnishadm ban.list
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Varnish excels with in-memory caching. For a server with 16 GB RAM:
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| -p thread_pool_min=100
-p thread_pool_max=2000
-p thread_pool_timeout=300
-p http_resp_hdr_len=131072
-p workspace_backend=256k
-s malloc,8G
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For disk-based caching on large content libraries:
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| -s file,/var/lib/varnish/storage.bin,50G
-p lru_interval=3600
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Varnish does not handle TLS natively. You need a TLS terminator like Hitch, Nginx, or Caddy in front of it.
Apache Traffic Server
Apache Traffic Server (ATS) is a high-performance reverse proxy and caching server originally developed by Yahoo for their portal infrastructure. It handles hundreds of thousands of requests per second and powers CDNs serving billions of requests daily.
Key Features
- Hierarchical caching with parent proxy support
- Plugin architecture with over 50 official plugins
- HTTP/2 and HTTP/3 support (experimental HTTP/3 in 10.x)
- Traffic control for bandwidth management
- Integrated logging and statistics
Docker Deployment
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| version: "3.8"
services:
trafficserver:
image: apache/trafficserver:10.0
ports:
- "80:80"
- "443:443"
- "8080:8080"
volumes:
- ./records.yaml:/opt/trafficserver/etc/trafficserver/records.yaml:ro
- ./remap.config:/opt/trafficserver/etc/trafficserver/remap.config:ro
- ./storage.config:/opt/trafficserver/etc/trafficserver/storage.config:ro
- ats_cache:/opt/trafficserver/var/trafficserver
restart: unless-stopped
volumes:
ats_cache:
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Core Configuration
records.yaml — main server settings:
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| proxy.config.http.server_ports: "80 443:ssl"
proxy.config.reverse_proxy.enabled: 1
proxy.config.url_remap.remap_required: 1
proxy.config.cache.ram_cache.size: 4GB
proxy.config.cache.ram_cache.algorithm: 1
proxy.config.http.cache.http: 1
proxy.config.http.cache.ignore_client_no_cache: 1
proxy.config.http.cache.ignore_client_cc_max_age: 1
proxy.config.http.normalize_ae_gzip: 1
proxy.config.http.cache.max_open_read_retries: 5
proxy.config.diags.logfile.filename: "traffic.out"
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remap.config — URL routing rules:
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| # Reverse proxy mapping
map https://your-domain.com/ http://origin-server:8080/ \
@plugin=cachekey.so \
@plugin=header_rewrite.so @pparam=cache_headers.config
# API endpoints with shorter TTL
map https://api.your-domain.com/ http://api-backend:3000/ \
@plugin=cachekey.so \
@plugin=header_rewrite.so @pparam=api_cache.config
# Static assets with aggressive caching
map https://static.your-domain.com/ http://static-backend:8080/ \
@plugin=cachekey.so \
@plugin=header_rewrite.so @pparam=static_cache.config
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cache_headers.config — cache behavior for main site:
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| cond %{READ_RESPONSE_HDR_HOOK}
add-header X-Cache-Lookup MISS
set-header X-Cache-Lookup HIT if-cached
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Cache Monitoring
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| # Show cache statistics
traffic_ctl metric match proxy.process.cache
# Show HTTP transaction stats
traffic_ctl metric match proxy.process.http
# Reload configuration without restart
traffic_ctl config reload
# View active connections
traffic_ctl metric get proxy.process.http.current_client_connections
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Apache Traffic Server handles TLS natively and includes SSL certificate management through its records configuration. Its hierarchical caching model allows you to build multi-tier cache architectures with parent-child relationships between nodes.
Squid Proxy
Squid is one of the oldest and most widely deployed caching proxy servers. While often associated with forward proxying, Squid excels as a reverse proxy cache and is particularly strong in environments requiring fine-grained access control and content filtering.
Key Features
- Reverse proxy acceleration mode
- ICP (Internet Cache Protocol) for cache peer communication
- Hierarchical cache arrays with parent/sibling relationships
- Extensive ACL system for request filtering
- Support for SSL Bumping (with limitations)
- Built-in delay pools for bandwidth throttling
Docker Deployment
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| version: "3.8"
services:
squid:
image: ubuntu/squid:latest
ports:
- "80:3128"
- "443:3129"
volumes:
- ./squid.conf:/etc/squid/squid.conf:ro
- ./ssl_cert.pem:/etc/squid/ssl_cert.pem:ro
- squid_cache:/var/spool/squid
environment:
- TZ=UTC
restart: unless-stopped
volumes:
squid_cache:
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Core Configuration
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| # Basic settings
http_port 3128
https_port 3129 cert=/etc/squid/ssl_cert.pem key=/etc/squid/ssl_key.pem
# Reverse proxy mode
http_port 80 accel defaultsite=your-domain.com
cache_peer origin-server parent 8080 0 no-query originserver name=origin
# Cache configuration
cache_dir ufs /var/spool/squid 10240 16 256
cache_mem 256 MB
maximum_object_size 100 MB
maximum_object_size_in_memory 512 KB
# Cache replacement policy
cache_replacement_policy lru
memory_replacement_policy lru
# Access control
acl localnet src 10.0.0.0/8 172.16.0.0/12 192.168.0.0/16
acl SSL_ports port 443
acl Safe_ports port 80 8080
# Cache rules
cache allow all
cache deny PURGE
# Refresh patterns
refresh_pattern -i \.jpg$ 10080 90% 43200 ignore-reload
refresh_pattern -i \.png$ 10080 90% 43200 ignore-reload
refresh_pattern -i \.css$ 10080 90% 43200 ignore-reload
refresh_pattern -i \.js$ 10080 90% 43200 ignore-reload
refresh_pattern -i \.html$ 60 50% 1440
refresh_pattern . 60 50% 1440
# Logging
access_log /var/log/squid/access.log squid
cache_log /var/log/squid/cache.log
cache_store_log /var/log/squid/store.log
# Purge support
acl purge method PURGE
http_access allow purge localhost
http_access deny purge
http_access allow localnet
http_access deny all
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Cache Management
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| # Rotate logs
squid -k rotate
# Reconfigure without restart
squid -k reconfigure
# Graceful shutdown
squid -k shutdown
# Check cache directory health
squid -k check
# View cache statistics
squidclient -p 80 mgr:info
squidclient -p 80 mgr:5min
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Squid’s strength lies in its maturity and extensive ACL system. It is well-suited for organizations that need content filtering alongside caching, such as educational institutions or corporate networks. However, its refresh pattern syntax is more complex than Varnish’s VCL, and it lacks a modern configuration language for advanced cache logic.
Nginx as Reverse Proxy Cache
Nginx is primarily a web server and reverse proxy, but its built-in caching module is powerful enough to serve as the caching layer for many self-hosted CDN deployments. Its simplicity and ubiquity make it an excellent choice for teams already running Nginx in their stack.
Key Features
- Integrated caching with no additional software
- Proxy cache purge module (requires compilation or third-party module)
- Key-value store (Nginx Plus feature, not available in open source)
- HTTP/2 and HTTP/3 native support
- Lua scripting with OpenResty for advanced cache logic
- Built-in load balancing with multiple algorithms
Docker Deployment
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| version: "3.8"
services:
nginx-cache:
image: nginx:1.27
ports:
- "80:80"
- "443:443"
volumes:
- ./nginx.conf:/etc/nginx/nginx.conf:ro
- ./conf.d:/etc/nginx/conf.d:ro
- ./ssl:/etc/nginx/ssl:ro
- nginx_cache:/var/cache/nginx
- ./certs:/etc/letsencrypt:ro
restart: unless-stopped
volumes:
nginx_cache:
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Core Configuration
nginx.conf — main configuration:
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| user nginx;
worker_processes auto;
error_log /var/log/nginx/error.log warn;
pid /var/run/nginx.pid;
events {
worker_connections 4096;
multi_accept on;
use epoll;
}
http {
include /etc/nginx/mime.types;
default_type application/octet-stream;
# Logging format with cache status
log_format main '$remote_addr - $remote_user [$time_local] "$request" '
'$status $body_bytes_sent "$http_referer" '
'"$http_user_agent" "$http_x_forwarded_for" '
'cache_status=$upstream_cache_status rt=$request_time';
access_log /var/log/nginx/access.log main;
sendfile on;
tcp_nopush on;
tcp_nodelay on;
keepalive_timeout 65;
types_hash_max_size 2048;
# Gzip compression
gzip on;
gzip_vary on;
gzip_proxied any;
gzip_comp_level 6;
gzip_min_length 256;
gzip_types
text/plain text/css application/json application/javascript
text/xml application/xml application/xml+rss text/javascript
image/svg+xml;
# Proxy cache zone definitions
proxy_cache_path /var/cache/nginx/static
levels=1:2
keys_zone=static_cache:50m
max_size=10g
inactive=30d
use_temp_path=off;
proxy_cache_path /var/cache/nginx/dynamic
levels=1:2
keys_zone=dynamic_cache:20m
max_size=2g
inactive=1h
use_temp_path=off;
proxy_cache_path /var/cache/nginx/api
levels=1:2
keys_zone=api_cache:10m
max_size=500m
inactive=5m
use_temp_path=off;
# Rate limiting zones
limit_req_zone $binary_remote_addr zone=general:10m rate=30r/s;
limit_req_zone $binary_remote_addr zone=api:10m rate=10r/s;
include /etc/nginx/conf.d/*.conf;
}
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conf.d/default.conf — server block with caching:
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| server {
listen 80;
listen [::]:80;
server_name your-domain.com;
# Redirect to HTTPS
return 301 https://$host$request_uri;
}
server {
listen 443 ssl http2;
listen [::]:443 ssl http2;
server_name your-domain.com;
ssl_certificate /etc/letsencrypt/live/your-domain.com/fullchain.pem;
ssl_certificate_key /etc/letsencrypt/live/your-domain.com/privkey.pem;
ssl_protocols TLSv1.2 TLSv1.3;
ssl_ciphers ECDHE-ECDSA-AES128-GCM-SHA256:ECDHE-RSA-AES128-GCM-SHA256;
ssl_prefer_server_ciphers off;
ssl_session_cache shared:SSL:10m;
ssl_session_timeout 1d;
# Upstream backends
upstream origin_backend {
server origin-server:8080;
server origin-server-2:8080 backup;
keepalive 32;
}
upstream api_backend {
server api-server:3000;
least_conn;
keepalive 16;
}
upstream static_backend {
server static-server:8080;
keepalive 32;
}
# Main site — dynamic content with short cache
location / {
limit_req zone=general burst=50 nodelay;
proxy_pass http://origin_backend;
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header X-Forwarded-Proto $scheme;
proxy_http_version 1.1;
proxy_set_header Connection "";
proxy_cache dynamic_cache;
proxy_cache_valid 200 1h;
proxy_cache_valid 404 1m;
proxy_cache_use_stale error timeout updating http_500 http_502 http_503 http_504;
proxy_cache_lock on;
proxy_cache_lock_timeout 5s;
proxy_cache_background_update on;
add_header X-Cache-Status $upstream_cache_status;
}
# Static assets — long cache
location ~* \.(jpg|jpeg|png|gif|webp|ico|css|js|woff2?|svg|mp4|webm)$ {
proxy_pass http://static_backend;
proxy_set_header Host $host;
proxy_http_version 1.1;
proxy_set_header Connection "";
proxy_cache static_cache;
proxy_cache_valid 200 30d;
proxy_cache_valid 404 1m;
proxy_cache_use_stale error timeout updating http_500 http_502 http_503 http_504;
proxy_cache_background_update on;
expires 30d;
add_header Cache-Control "public, immutable";
add_header X-Cache-Status $upstream_cache_status;
}
# API endpoints — short cache with rate limiting
location /api/ {
limit_req zone=api burst=20 nodelay;
proxy_pass http://api_backend;
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_http_version 1.1;
proxy_set_header Connection "";
proxy_cache api_cache;
proxy_cache_valid 200 5m;
proxy_cache_valid 404 30s;
proxy_cache_methods GET HEAD;
proxy_cache_bypass $http_cache_control;
add_header X-Cache-Status $upstream_cache_status;
}
# Purge endpoint (restricted to localhost)
location /purge/ {
allow 127.0.0.1;
allow ::1;
deny all;
proxy_cache_purge static_cache $scheme$proxy_host$request_uri;
}
# Health check endpoint
location /health {
access_log off;
return 200 "OK";
add_header Content-Type text/plain;
}
}
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Cache Purge Operations
The open-source Nginx requires a third-party module (nginx-cache-purge) for programmatic cache purging. With the module compiled in:
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| # Purge a specific URL
curl -X PURGE https://your-domain.com/purge/page/to-clear
# Using the proxy_cache_purge directive via internal endpoint
curl https://your-domain.com/purge/static/image.jpg
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Cache Monitoring with Prometheus
Export Nginx cache metrics using the Nginx Prometheus Exporter:
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| nginx-exporter:
image: nginx/nginx-prometheus-exporter:1.3
ports:
- "9113:9113"
command:
- -nginx.scrape-uri=http://nginx-cache:8080/stub_status
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| Feature | Varnish Cache | Apache Traffic Server | Squid Proxy | Nginx Cache |
|---|
| Primary role | HTTP accelerator | Reverse proxy cache | Forward/reverse proxy | Web server with cache |
| Cache performance | Excellent | Excellent | Good | Very good |
| Configuration language | VCL (powerful) | YAML + plugins | Directive-based | Nginx directives |
| TLS/SSL support | No (needs Hitch/Nginx) | Native | Native | Native |
| HTTP/2 | Yes (via TLS terminator) | Yes | Limited | Yes |
| HTTP/3 | Via external | Experimental (10.x) | No | Yes (1.25+) |
| Cache invalidation | PURGE + BAN | Plugin-based | PURGE | Module required |
| ESI support | Yes | Yes | No | Via Lua/Subs filter |
| Load balancing | Basic (director) | Advanced | Limited | Advanced |
| Monitoring | varnishstat + varnishlog | traffic_ctl metrics | squidclient mgr: | stub_status + exporter |
| Plugin ecosystem | VCL + VMODs | 50+ official plugins | ACL helpers | Lua + third-party modules |
| Learning curve | Steep (VCL) | Moderate | Moderate | Gentle |
| Best for | High-performance sites | Multi-tier CDN setups | Filtering + caching | General web infrastructure |
Building a Multi-Node Self-Hosted CDN
A single cache server handles a surprising amount of traffic, but true CDN resilience comes from geographic distribution. Here is how to build a multi-node setup.
Architecture Overview
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| ┌─────────────┐
│ DNS-Based │
│ Geo-Routing │
└──────┬──────┘
│
┌────────────────┼────────────────┐
▼ ▼ ▼
┌───────────┐ ┌───────────┐ ┌───────────┐
│ Varnish │ │ Varnish │ │ Varnish │
│ US-East │ │ EU-West │ │ AP-South │
└─────┬─────┘ └─────┬─────┘ └─────┬─────┘
│ │ │
└────────────────┼────────────────┘
▼
┌─────────────┐
│ Origin Server│
│ (Backend) │
└─────────────┘
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Geo-DNS Configuration with GeoDNS
Using bind or PowerDNS with geo-IP routing:
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| ; PowerDNS geo backend example
$ORIGIN your-domain.com
@ IN A 203.0.113.10 ; Default
us IN A 203.0.113.10 ; US-East node
eu IN A 198.51.100.20 ; EU-West node
ap IN A 192.0.2.30 ; AP-South node
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Cache Coordination with ICP (Squid) or Parent Proxies (ATS)
For Apache Traffic Server parent-child hierarchy:
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| # parent.config
origin-server:8080 go_parent round_robin=strict
ats-eu-west:8080 go_parent round_robin=consistent_hash
ats-ap-south:8080 go_parent round_robin=consistent_hash
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Monitoring Your Self-Hosted CDN
Regardless of which tool you choose, monitoring cache performance is essential. A typical Prometheus + Grafana setup covers the basics.
Key Metrics to Track
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| # Cache hit ratio (Varnish)
rate(varnish_main_cache_hit[5m]) / (rate(varnish_main_cache_hit[5m]) + rate(varnish_main_cache_miss[5m]))
# Backend response time
histogram_quantile(0.95, rate(varnish_backend_response_time_seconds_bucket[5m]))
# Cache utilization (Nginx)
nginx_cache_bytes_used / nginx_cache_max_bytes
# Active connections
nginx_connections_active
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Grafana Dashboard Essentials
- Cache hit ratio over time (target: 80-95% for static, 40-70% for dynamic)
- Backend response latency (P50, P95, P99)
- Bandwidth in/out per cache node
- Cache eviction rate
- Error rate by HTTP status code
- Active connections and thread utilization
When to Use Each Solution
Choose Varnish Cache when you need maximum HTTP acceleration performance, fine-grained cache logic with VCL, ESI for page composition, or are running a high-traffic content site.
Choose Apache Traffic Server when you need hierarchical caching across multiple tiers, a rich plugin ecosystem, native TLS support with caching, or are building a CDN-like infrastructure.
Choose Squid Proxy when you need content filtering alongside caching, ICP-based cache mesh networks, extensive ACL-based access control, or are operating in an educational/corporate environment.
Choose Nginx Cache when you already run Nginx and want integrated caching, need HTTP/3 support out of the box, prefer simple configuration over advanced cache logic, or want a single binary for web serving and caching.
Getting Started Checklist
- Pick your caching tool based on the comparison above
- Deploy with Docker Compose on your edge server
- Configure your origin backend(s) in the proxy configuration
- Set cache TTLs per content type (static vs dynamic vs API)
- Enable cache status headers for debugging (
X-Cache: HIT/MISS) - Set up Prometheus metrics collection
- Configure cache purge endpoints and access controls
- Deploy TLS certificates (Let’s Encrypt with Certbot)
- Test cache behavior with
curl -v and verify headers - Set up Grafana dashboards for ongoing monitoring
A self-hosted caching layer is one of the highest-ROI infrastructure improvements you can make. It reduces origin server load, cuts bandwidth costs, improves page load times, and keeps your traffic under your own control. Start with a single node, validate your cache hit ratios, and expand to a multi-node setup as your traffic grows.
Frequently Asked Questions (FAQ)
Which one should I choose in 2026?
The best choice depends on your specific requirements:
- For beginners: Start with the simplest option that covers your core use case
- For production: Choose the solution with the most active community and documentation
- For teams: Look for collaboration features and user management
- For privacy: Prefer fully open-source, self-hosted options with no telemetry
Refer to the comparison table above for detailed feature breakdowns.
Most tools support data import/export. Always:
- Backup your current data
- Test the migration on a staging environment
- Check official migration guides in the documentation
Are there free versions available?
All tools in this guide offer free, open-source editions. Some also provide paid plans with additional features, priority support, or managed hosting.
How do I get started?
- Review the comparison table to identify your requirements
- Visit the official documentation (links provided above)
- Start with a Docker Compose setup for easy testing
- Join the community forums for troubleshooting